The ins and outs of metal homeostasis by the root nodule actinobacterium Frankia

Background: Frankia are actinobacteria that form a symbiotic nitrogen-fixing association with actinorhizal plants, and play a significant role in actinorhizal plant colonization of metal contaminated areas. Many Frankia strains are known to be resistant to several toxic metals and metalloids including Pb2+, Al+3, SeO2, Cu2+, AsO4, and Zn2+. With the availability of eight Frankia genome databases, comparative genomics approaches employing phylogeny, amino acid composition analysis, and synteny were used to identify metal homeostasis mechanisms in eight Frankia strains. Characterized genes from the literature and a meta-analysis of 18 heavy metal gene microarray studies were used for comparison. Results: Unlike most bacteria, Frankia utilize all of the essential trace elements (Ni, Co, Cu, Se, Mo, B, Zn, Fe, and Mn) and have a comparatively high percentage of metalloproteins, particularly in the more metal resistant strains. Cation diffusion facilitators, being one of the few known metal resistance mechanisms found in the Frankia genomes, were strong candidates for general divalent metal resistance in all of the Frankia strains. Gene duplication and amino acid substitutions that enhanced the metal affinity of CopA and CopCD proteins may be responsible for the copper resistance found in some Frankia strains. CopA and a new potential metal transporter, DUF347, may be involved in the particularly high lead tolerance in Frankia. Selenite resistance involved an alternate sulfur importer (CysPUWA) that prevents sulfur starvation, and reductases to produce elemental selenium. The pattern of arsenate, but not arsenite, resistance was achieved by Frankia using the novel arsenite exporter (AqpS) previously identified in the nitrogen-fixing plant symbiont Sinorhizobium meliloti. Based on the presence of multiple tellurite resistance factors, a new metal resistance (tellurite) was identified and confirmed in Frankia. Conclusions: Each strain had a unique combination of metal import, binding, modification, and export genes that explain differences in patterns of metal resistance between strains. Frankia has achieved similar levels of metal and metalloid resistance as bacteria from highly metal-contaminated sites. From a bioremediation standpoint, it is important to understand mechanisms that allow the endosymbiont to survive and infect actinorhizal plants in metal contaminated soils

Anthropogenic Habitats Facilitate Dispersal of an Early Successional Obligate: Implications for Restoration of an Endangered Ecosystem

Landscape modification and habitat fragmentation disrupt the connectivity of natural landscapes, with major consequences for biodiversity. Species that require patchily distributed habitats, such as those that specialize on early successional ecosystems, must disperse through a landscape matrix with unsuitable habitat types. We evaluated landscape effects on dispersal of an early successional obligate, the New England cottontail (Sylvilagus transitionalis). Using a landscape genetics approach, we identified barriers and facilitators of gene flow and connectivity corridors for a population of cottontails in the northeastern United States. We modeled dispersal in relation to landscape structure and composition and tested hypotheses about the influence of habitat fragmentation on gene flow. Anthropogenic and natural shrubland habitats facilitated gene flow, while the remainder of the matrix, particularly development and forest, impeded gene flow. The relative influence of matrix habitats differed between study areas in relation to a fragmentation gradient. Barrier features had higher explanatory power in the more fragmented site, while facilitating features were important in the less fragmented site. Landscape models that included a simultaneous barrier and facilitating effect of roads had higher explanatory power than models that considered either effect separately, supporting the hypothesis that roads act as both barriers and facilitators at all spatial scales. The inclusion of LiDAR-identified shrubland habitat improved the fit of our facilitator models. Corridor analyses using circuit and least cost path approaches revealed the importance of anthropogenic, linear features for restoring connectivity between the study areas. In fragmented landscapes, human-modified habitats may enhance functional connectivity by providing suitable dispersal conduits for early successional specialists

A Conceptual Model of the Incubation of New Technology-Based Ventures: a Social Capital Perspective

Technology incubators are newer organizational forms that are created to support and accelerate the development and success of affiliated ventures, particularly new technology-based ventures. Current literature regarding incubators has suggested that an understanding of the incubation process is important when seeking to understand how affiliated ventures develop and grow. However, very little is known about the incubation process, particularly the incubation of technology-based ventures. Prior literature suggests that technology-based ventures develop in terms of both business and technological development and that the incubation process varies along these dimensions. Thus, understanding the incubation of technology–based ventures must consider the differing but simultaneous dynamics of business and technological development. Drawing from the social capital, entrepreneurship, incubation, and organizational learning literature, a conceptual model of the incubation of new technology-based ventures within technology incubators is presented.incubators; new technology-based ventures; entrepreneurship; innovation.

No Place by the Fire: The Story of South African Ex-Combatants and the National Peace Accord Trust

Describes the experiences of South African ex-combatants in the armed struggle to end apartheid who are now marginalized, and the National Peace Accord Trust's intervention programs and advocacy work to facilitate reintegration into their communities

Empowerment and local level conflict mediation in Indonesia : a comparative analysis of concepts, measures, and project efficacy

The notion of empowerment has been more often deductively claimed than carefully defined or inductively assessed by development scholars and practitioners alike. The authors define and assess empowerment through an in-depth examination of the extent to which a large community development project in rural Indonesia empowers participants (especially members of marginalized groups) through building their capacity to manage local conflict. Although the project induces conflict through its deployment of a competitive bidding process, the authors argue that, when well implemented, it can also enable otherwise unequal groups to more peacefully, equitably, and effectively engage one another. Using a mixed methods approach, they compare cases from otherwise similar treatment and control villages to shed light on the chief components of villagers'capacity to manage local conflict. They discuss the interdependencies of two major analytical realms-routines of inter-group collaboration, and sources of countervailing power-and their relation to local conflict processes and outcomes.ICT Policy and Strategies,Education and Society,Educational Sciences,Post Conflict Reconstruction,TF054599-PHRD-KYRGYZ REPUBLIC: WATER MANAGEMENT IMPROVEMENT PROJECT

Environmental innovation: Using qualitative models to identify indicators for policy

Environmental innovation is an essential part of a knowledge based economy, as environmental innovation makes economies more efficient by encouraging and facilitating the use of fewer material or energy inputs per unit of output. In this respect, environmental innovation replaces material inputs with knowledge. Environmental innovation should also result in fewer externalities, or negative environmental impacts, which affect our health and well-being, also in terms of global climate change. Technology shifts caused by technological breakthroughs, rapid changes in demand for resources, or environmental imperatives could also impel societies to invest more heavily in research on how to use energy and other resources more efficiently. The main goal of this paper is to explore and identify relevant indicators for environmental innovation that could be used to develop innovation policy for all economic sectors, as well as for the field of environmental technologies. This is done firstly with the help of a qualitative model presenting the eco-innovation chain. Based on both literature and our data analysis, our chosen key indicators include measures on: environmental regulations and venture capital for the eco-industry; environmental publications, patents and business R&D; eco-industry exports and FDI; sales from environmentally beneficial innovation across sectors; and environmental impacts related to energy intensity and resource productivity of economies. Finding key eco-innovation indicators related to such factors is important for policy makers, as environmental innovation policy is required to counter the two market failures associated with environmental pollution and the innovation and diffusion of new technologies.Environmental innovation, environmental goods and services, innovation indicators, CIS, environmental impacts, European Union

Chapter 5: Evaluation

The OTiS (Online Teaching in Scotland) programme, run by the now defunct Scotcit programme, ran an International e-Workshop on Developing Online Tutoring Skills which was held between 8–12 May 2000. It was organised by Heriot–Watt University, Edinburgh and The Robert Gordon University, Aberdeen, UK. Out of this workshop came the seminal Online Tutoring E-Book, a generic primer on e-learning pedagogy and methodology, full of practical implementation guidelines. Although the Scotcit programme ended some years ago, the E-Book has been copied to the SONET site as a series of PDF files, which are now available via the ALT Open Access Repository. The editor, Carol Higgison, is currently working in e-learning at the University of Bradford (see her staff profile) and is the Chair of the Association for Learning Technology (ALT)

Disrupting Illicit Supply Networks: New Applications of Operations Research and Data Analytics to End Modern Slavery

Report from a 2017 National Science Foundation workshop on promising research directions for applications of operations research and data analytics toward the disruption of illicit supply networks like human trafficking. The workshop was funded by the NSF’s Operations Engineering (ENG) and the Law & Social Sciences Program (SBE) under grant # CMMI-1726895. The report addresses the opportunity to apply advances from the fields of operations research, management science, analytics, machine learning, and data science toward the development of disruptive interventions against illicit networks. Such an extension of the current research agenda for trafficking would move understanding of such dynamic systems from descriptive characterization and predictive estimation toward improved dynamic operational control.Bureau of Business Researc